搜索资源列表
PSO
- 粒子群算法改进程序和一些测试函数的编写比原算法比较好(The improvement program of particle swarm optimization and the writing of some test functions are better than those of the original algorithm)
mopso c
- 此文件夹为基本粒子群算法的c代码实现,测试了文章MOPSO-CD中的问题(This folder for the basic particle swarm algorithm c code to test the article MOPSO-CD problems)
Desktop
- 小波降噪、时频分析等方法,系统地研究航天电子设备多余物噪声检测过程中各操作变量和微粒物理参数对声波频谱的影响。通过单因素试验,详细分析了微粒粒径、振动力学条件中加速度和频率等3因素对声音信号频谱分布的影响规律,比较了短时傅里叶变换和小波变换的特点。该结果为进一步识别多余物微粒的参数提供了指导依据(the complexity of the material interaction and the properties of the particles themselves make the re
Werner
- 使用场景 我们在测试客户端的功能时,经常碰到一种场景是,客户端接收服务器的返回,然后进行处理。但若客户端开发代码没有对服务器非预期的返回值进行处理,就极有可能导致客户端无法正常使用,甚至崩溃。常见的非预期值场景有: 返回格式非约定好的; 返回内容不完整,例如字段缺失; 返回的内容存在错误的值; 返回一些服务器异常,例如404,502等; 其他…… 因此为了测试客户端的健壮性,我们需要模拟不同的服务器返回内容。(On the name The name of the pro
Fractional-order modeling.zip
- This paper presents a fractional-order model (FOM) for lithium-ion batteries and its parameter identification using time-domain test data. The FOM is derived from a modified Randles model and takes the form of an equivalent circuit model with free no
1-s2.0-S0957417410009899-main
- In this paper, the dynamic multi-swarm particle swarm optimizer (DMS-PSO) is improved by hybridizing it with the harmony search (HS) algorithm and the resulting algorithm is abbreviated as DMS-PSO-HS. We present a novel approach to merge the HS alg
cec13matlab
- 可用来测试智能优化算法性能,例如粒子群优化算法,人工蜂群算法等。(It can be used to test the performance of intelligent optimization algorithm, such as particle swarm optimization algorithm, artificial swarm algorithm, etc.)
SVM_Short-term-Load-Forecasting2
- 本文采用最小二乘支持向量机(LSSVM)模型,根据浙江台州某地区的历史负荷数据和气象数据,分析影响预测的各种因素,总结了负荷变化的规律性,对历史负荷数据中的“异常数据”进行修正,对负荷预测中要考虑的相关因素进行了归一化处理。LSSVM中的两个参数对模型有很大影响,而目前依然是基于经验的办法解决。对此,本文采用粒子群优化算法对模型参数进行寻优,以测试集误差作为判决依据,实现模型参数的优化选择,使得预测精度有所提高。实际算例表明,本文的预测方法收敛性好、有较高的预测精度和较快的训练速度。(this
PSO
- 粒子群算法优化目标函数,test为主程序,fun为目标函数(Particle Swarm Optimization for Object Function)
CEC 2017
- 测试函数:主要用于测试智能优化算法,如遗传算法、粒子群算法等的性能(Test function: it is mainly used to test the performance of intelligent optimization algorithms, such as genetic algorithm and particle swarm optimization algorithm)
PSO_BP
- 用粒子群算法对BP神经网络进行训练 亲测可用!(BP Neural Network Training with Particle Swarm Optimization Pro-test is available!)
PSOT
- matlab粒子群算法的官方工具箱,直接调用函数使用,test-funfun为主函数,test-fun为实例演示(The official toolbox of MATLAB particle swarm optimization algorithm, directly calling function use, test-fun fun as the main function, test-fun as an example to demonstrate.)
PSO优化SVM参数
- 粒子群算法优化libsvm参数,可以自行修改,亲测可用(Particle Swarm Optimization (PSO) optimizes the parameters of libsvm, which can be modified by itself and can be used for pro-test.)
带压缩,学习因子
- 在matlab用于各种算法粒子群和遗传的测试函数性能比较,画图等等(Performance comparison of particle swarm and genetic test functions used in various algorithms in matlab, drawing, etc.)
粒子群算法
- 利用粒子群算法求解测试函数算法,可以完整的实现(Using particle swarm optimization algorithm to solve the test function algorithm can be fully implemented)